边路对决加拿大肯定占优，但戴维斯状态如何要打个问号，而且南非的防守很紧凑，不会给太多一对一突破的空间。

1、半岛买球 这位科特迪瓦新星与莱比锡的合同2030年到期，标价高达9400万英镑。

然而，少数“自带产业订单、能把上游供应商直接打包搬到地方”的强产业型GP，反而成了各地国资私下暗中抢购的“香饽饽”。半岛买球如今，金球奖的归属逻辑已经变得异常清晰。

2、亚洲球队前2轮综述：世界杯18战3胜5平10负，仅2队不败，5队垫底

赫尔城看起来就是那种"意外升超"的球队，他们的底层数据在英冠都接近降级区。

3、加拿大皇家骑警警车30多年来首换涂装：大面积黑色取代白色

到了大二下，第一次窗口开了——盯日常实习和暑期实习提前批。

4、球王的最后一舞，留给决赛

马竞决意不给西甲的两大对手任何助力，但如果是卖给一家英超俱乐部，他们的抗拒心理恐怕会少很多。

5、人设崩塌！梅西世界杯争议操作引爆全网，球迷怒斥：太丢人

英格兰队拥有状态炸裂的贝林厄姆（本届已入6球）与巅峰期的哈里·凯恩，双核驱动下的三狮军团阵容均衡、韧性十足。

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

等到第二年自己关店，再点进去看，群里已经少了四成的人。

6、对阵卡塔尔！男篮首发5虎预测：贺希宁朱俊龙替补，崔永熙搭杨瀚森_网易订阅

也因此，拓竹一开始就自研打印机嵌入式控制系统，并在刚有利润时高强度投入社区，因为“纯硬件太辛苦”。

这可能就是许多心理学热词真正的价值：它们没有解决处境，却先阻止处境变成一场彻底的自我否定。

7、刘亚楼和许光达资历差不多，为什么一个是上将，一个是大将

整场比赛，斗牛士军团用行云流水的传控和严丝合缝的整体足球，让姆巴佩领衔的高卢雄鸡几乎找不到北。

“去年卖模型，今年卖Harness，明年可能卖完整Agent解决方案。

8、法国VS英格兰：姆巴佩全力冲击金靴奖，英格兰士气低落恐落败

事实上，梅西的商业版图远比外界想象得庞大。

面对曼联直接激活解约金的强势操作，维拉在财务合规的压力下别无选择，只能接受核心球员离队的现实。

面对土耳其队21次射门，澳大利亚防线组织井然有序，用最经济的方式拿下了比赛。

9、2026美加墨世界杯：英格兰VS阿根廷，首发名单出炉！

但足球终究是结果导向的运动，当团队利益与个人情怀发生碰撞时，决策的天平往往倾向前者。

伊布的思路是寻找一名类似法布雷加斯的教练，他应是一位足球体系的构建者，擅长攻势足球、富有活力的主帅。

10、卡萨诺点评C罗争议点赞：面对梅西时太在意比较，真正伟大无需证明自己！

上赛季索博斯洛伊交出了一份堪称惊艳的成绩单：各项赛事出战53场，贡献13粒进球与12次助攻，成为自2013-14赛季杰拉德之后，首位单赛季进球助攻双双上双的利物浦中场。

时光回溯至五年前，哈兰德与贝林厄姆曾是那支崇尚青春风暴的多特蒙德阵中最耀眼的两颗新星。

1、考生注意！我省2026年高考成绩查询方式公布

只有训练课，替补上场，跑出了空当但球没传过来。

2、10分钟，他们保住了24.6万！

森保一大概率同样采用4-3-3体系，26人大名单中23人拥有旅欧经历，其中12人效力于五大联赛，39岁的长友佑都更是成为首位5次参加世界杯的亚洲球员。

3、美媒：勇士欲交易老虎王牌斯库巴尔，联手塞尔组顶级左投双核

本场挪威大概率会延续此前的控球打法，利用中场优势主导球权，通过边路传中持续施压英格兰防线。四预警齐发，台风“红霞” 马上登陆！黑龙江、山东、江苏、广西、台湾岛等局地有大暴雨，新疆、内蒙古、四川盆地、重庆局地可达40℃以上” 亲眼看过两家赚钱的店后，他才下定决心。

4、记者曝：詹姆斯本计划上周宣布下家，被萧华言论激怒后推迟至8月

另一方面，经销商为了完成销售指标，也只得以促销的方式清理库存方式，从而让耐克整体陷入价格战的泥潭，更拉低了耐克整个品牌的价位。

5、李凯尔退出+全华班出战！男篮官宣重要决定，杨瀚森恐成最后希望

从地方政策到国家战略，整条链路正在打通 本轮脑机接口的爆发，背后是政策的全方位支持。

6、“码上”赴约！2026Intertextile秋冬面辅料展观众预登记正式上线

这一“不传”的决定，不仅让挪威队错失了扩大比分的黄金机会，也为他们最终的出局埋下了伏笔。

主帅斯帕莱蒂也向管理层提出明确要求，他需要一名左脚中卫与凯利形成轮换，同时如果布雷默离队，还需要再进补一名中卫，托莫里和托迪博是可能的人选。

但模型究竟是在真正预测动作后果，还是主要根据训练数据进行模式匹配，外界并不容易判断。

7、波加查凌晨5点被叫醒药检，温格高检测后退赛，环法深夜突检震惊车坛

相比之下，阿根廷（15.61%）与英格兰（14.55%）分列三四位，而挪威（5.98%）与瑞士（2.90%）则构成了第二梯队。

就在这个节点，阿莫林的上任给事情带来了新的可能性。

8、受台风“红霞”影响，广东省内铁路即将全线停运

阿根廷的防线一直显得稳固，蒙铁尔赢下了所有对抗，克里斯蒂安·罗梅罗在第二次补水暂停被换下前也站得很稳。

接下来两三年内，我们还会继续向50TB以及更高容量演进，内部已经有相关demo，也具备相应能力。

没有黑马，没有冷门，只有硬实力的绝对碾压，四支前世界冠军球队将半决赛的舞台变成了一场名副其实的“冠军盛宴”。

加州和部分州的ZEV积分框架依然存在，但仅靠区域市场，再难重现单季七八亿美元的进账。